Nearest-neighbor-intersection algorithm for identifying strong predictors using high-dimensional data.
Arighna RoyAnne DentonPublished in: EIT (2019)
Keyphrases
- nearest neighbor
- high dimensional data
- high dimensional
- subspace clustering
- dimensional data
- learning algorithm
- k means
- high dimensional spaces
- data sets
- detection algorithm
- input data
- dimensionality reduction
- k nearest neighbor
- subspace learning
- high dimensions
- low dimensional
- locally linear embedding
- distance function
- linear discriminant analysis
- high dimensional datasets
- database
- data mining
- similarity measure
- dimension reduction
- sparse representation
- data analysis
- training set
- data points
- multi dimensional